| Title: | Search based risk mitigation planning in project portfolio management |
| Author: | Xiao, Junchao (1)
; Osterweil, Leon J. (2)
; Chen, Jie (1)
; Wang, Qing (1)
; Li, Mingshu (1)
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| Conference Name: | 2013 International Conference on Software and Systems Process, ICSSP 2013
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| Conference Date: | May 18, 2013 - May 19, 2013
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| Issued Date: | 2013
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| Conference Place: | San Francisco, CA, United states
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| Publish Place: | Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States
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| Indexed Type: | EI
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| ISBN: | 9781450320627
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| Department: | (1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Department of Computer Science, University of Massachusetts, Amherst, MA 01003-9264, United States; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
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| Abstract: | Software projects are always facing various risks. These risks should be identified, analyzed, prioritized, mitigated, monitored and controlled. After risks are identified and analyzed, resources must then be devoted to mitigation. However, risk prioritization and mitigation planning are complicated problems. Especially in project portfolio management (PPM), resource contention among projects leads to difficulty in choosing and executing mitigation actions. This paper introduces a search based risk mitigation planning method that is useful in PPM. It integrates the analysis of risks, consideration of available resources, and evaluation of possible effects when taking risk mitigation actions. The method uses a genetic algorithm to search for the risk mitigation plan of optimal value. A case study shows how this method can identify effective risk mitigation plans, thus providing useful decision support for managers. Copyright 2013 ACM. |
| English Abstract: | Software projects are always facing various risks. These risks should be identified, analyzed, prioritized, mitigated, monitored and controlled. After risks are identified and analyzed, resources must then be devoted to mitigation. However, risk prioritization and mitigation planning are complicated problems. Especially in project portfolio management (PPM), resource contention among projects leads to difficulty in choosing and executing mitigation actions. This paper introduces a search based risk mitigation planning method that is useful in PPM. It integrates the analysis of risks, consideration of available resources, and evaluation of possible effects when taking risk mitigation actions. The method uses a genetic algorithm to search for the risk mitigation plan of optimal value. A case study shows how this method can identify effective risk mitigation plans, thus providing useful decision support for managers. Copyright 2013 ACM. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/16658
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
Xiao, Junchao ,Osterweil, Leon J. ,Chen, Jie ,et al. Search based risk mitigation planning in project portfolio management[C]. 见:2013 International Conference on Software and Systems Process, ICSSP 2013. San Francisco, CA, United states. May 18, 2013 - May 19, 2013.
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